Don't Ignore the Value of your Conversational Data

Presented by

Kieron Guinamard, Research Scientist at Privitar & Chris Pierpan, VP Customer Solutions

About this talk

A closer look at Privitar’s Data Privacy for Chat For many organizations, social media, chatbots, and SMS messaging generates a large amount of conversational and unstructured data that contain valuable information. On the flip side, that data can also contain personally identifiable information and as a result, access to this conversational text is often limited or completely restricted in its raw form, and not used for analytics. We sit down with Kieron Guinamard, Research Scientist at Privitar who explores Privitar’s most recent offering, Data Privacy for Chat which makes it possible to leverage conversational text for analysis and gain access to a whole new world of insights and information.

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The world is waking up to privacy risk and privacy harms. There is a clear realisation that unless we incorporate privacy into every aspect of the data supply chain we run the risk of impeding innovation and exposing customers to harm. Privitar’s mission is to promote and facilitate the ethical and safe use of valuable data assets. Using leading privacy engineering techniques, we help companies get maximum value from data while preserving customer’s privacy.